RRosternomics
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Athletics OAK

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President of baseball ops: Billy Beane · GM: David Forst

Overview

WINDOW ↗ rising
cheap & winning · year 3 in this regime · payroll 0.76× league · TAB +13.0
+13.0TAB — talent above budget5th/30
+18.5WAB — realized wins (TAB + luck)5th/30
9.0depth — 2+ WAR regulars7th/30
-4.3dead WAR — sub-replacement drag10th/30
50%dead money %23rd/30
0.599win %5th/30
44.0roster fWAR9th/30
+46surplus $M (value vs cost)4th/30
$98Mpayroll $M22nd/30

2019: made playoffs · 97–65. Ranks are vs the 30 teams that season.

Roster

CFRamón Laureano 110GMark Canha 56GChad Pinder 5G
LFRobbie Grossman 112GChad Pinder 46GSeth Brown 23G
RFStephen Piscotty 90GChad Pinder 34GMark Canha 27G
SSMarcus Semien 161GFranklin Barreto 5GChad Pinder 3G
2BJurickson Profar 124GChad Pinder 21GSheldon Neuse 20G
3BMatt Chapman 156GChad Pinder 17GSheldon Neuse 5G
1BMatt Olson 127GMark Canha 15GSeth Brown 4G
STARTERSFrankie Montas 3.0WARBrett Anderson 2.2WARChris Bassitt 2.0WARHomer Bailey 1.8WARMike Fiers 1.7WAR
CJosh Phegley 106GDustin Garneau 34GNick Hundley 30G
DHKhris Davis 123GMark Canha 16GJurickson Profar 8G
BULLPEN★ Liam Hendriks 25svJake Diekman 31hYusmeiro Petit 29hJoakim Soria 21hLou Trivino 17hRyan Buchter 12hBlake Treinen 3hJ.B. Wendelken 1h
CJosh Phegley 106 · Dustin Garneau 34 · Nick Hundley 30
1BMatt Olson 127 · Mark Canha 15 · Seth Brown 4
2BJurickson Profar 124 · Chad Pinder 21 · Sheldon Neuse 20
3BMatt Chapman 156 · Chad Pinder 17 · Sheldon Neuse 5
SSMarcus Semien 161 · Franklin Barreto 5 · Chad Pinder 3
LFRobbie Grossman 112 · Chad Pinder 46 · Seth Brown 23
CFRamón Laureano 110 · Mark Canha 56 · Chad Pinder 5
RFStephen Piscotty 90 · Chad Pinder 34 · Mark Canha 27
DHKhris Davis 123 · Mark Canha 16 · Jurickson Profar 8
SPFrankie Montas 3.0 · Brett Anderson 2.2 · Chris Bassitt 2.0 · Homer Bailey 1.8 · Mike Fiers 1.7
BP★ Liam Hendriks 25 · Jake Diekman 31 · Yusmeiro Petit 29 · Joakim Soria 21 · Lou Trivino 17 · Ryan Buchter 12 · Blake Treinen 3 · J.B. Wendelken 1

Each position lists its starter then backups by games (so platoons & bench show). Starters (mound) & bullpen (left, foul territory) are ranked by WAR; ★ marks the closer (most save chances). MLB Stats API.

2019 roster — value & surplus

PlayerAgeServiceGfWARSalary $MSurplus $M
Marcus Semien 28 FA-elig 1626.5 5.9 +15.4
Matt Chapman 26 pre-arb 1565.4 0.6 +17.3
Mark Canha 30 arb 1263.9 2.0 +10.8
Ramón Laureano 24 pre-arb 1233.9 0.6 +12.1
Liam Hendriks 30 FA-elig 753.9 2.1 +10.5
Matt Olson 25 arb 1273.8 0.6 +11.9
Frankie Montas 26 arb 163.0 0.6 +9.3
Brett Anderson 31 FA-elig 312.2 1.5 +5.6
Chris Bassitt 30 arb 282.0 0.6 +6.1
Homer Bailey↔ KCR 33 FA-elig 131.8 0.1 +5.8
Mike Fiers 34 FA-elig 331.7 6.0 -0.4
Yusmeiro Petit 34 FA-elig 801.4 5.5 -0.9
Jurickson Profar 26 FA-elig 1391.0 3.6 -0.3
Joakim Soria 35 FA-elig 711.0 6.5 -3.4
Robbie Grossman 29 FA-elig 1380.8 2.0 +0.7
Sean Manaea 27 arb 50.8 3.1 -0.7
Stephen Piscotty 28 arb 930.7 7.3 -5.1
J.B. Wendelken 26 arb 270.6 0.6 +1.5
Daniel Mengden 26 pre-arb 130.6 0.2 +1.8
Seth Brown 26 – 260.6 0.1 +1.8
Sean Murphy 24 – 200.4 0.1 +1.2
Chad Pinder 27 arb 1240.4 0.6 +0.6
Jesús Luzardo 21 – 60.3 0.1 +1.0
Lou Trivino 27 pre-arb 610.3 0.6 +0.3
Dustin Garneau↔ ANA 31 pre-arb 70.2 0.0 +0.8
A.J. Puk 24 – 100.2 0.1 +0.7
Tanner Anderson 26 pre-arb 60.2 0.1 +0.7
Jake Diekman↔ KCR 32 FA-elig 280.2 0.8 -0.1
Brian Schlitter 33 pre-arb 60.1 0.1 +0.3
Josh Phegley 31 FA-elig 1060.1 1.1 -0.8
Beau Taylor↔ TOR 29 – 100.1 0.1 +0.1
Tanner Roark↔ CIN 32 FA-elig 100.1 3.2 -3.0
Sheldon Neuse 24 – 250.0 0.1 +0.0
Nick Martini↔ SDP 29 pre-arb 6-0.0 0.1 -0.2
Ryan Buchter 32 arb 64-0.1 1.4 -1.6
Wei-Chung Wang↔ PIT 27 – 20-0.1 0.2 -0.5
Fernando Rodney↔ WSN 42 FA-elig 17-0.1 1.6 -1.9
Skye Bolt 25 – 5-0.1 0.0 -0.4
Aaron Brooks↔ BAL 29 arb 15-0.2 0.3 -0.8
Marco Estrada 35 FA-elig 5-0.2 4.0 -4.6
Nick Hundley 35 FA-elig 31-0.2 1.2 -1.9
Chris Herrmann 31 FA-elig 30-0.2 1.0 -1.6
Paul Blackburn 25 pre-arb 4-0.2 0.1 -0.7
Ryan Dull↔ NYY 29 arb 7-0.3 0.5 -1.4
Blake Treinen 31 arb 57-0.3 6.4 -7.3
Corban Joseph↔ PIT 30 – 11-0.3 0.0 -1.1
Kendrys Morales↔ NYY 36 FA-elig 34-0.4 7.7 -9.1
Franklin Barreto 23 pre-arb 23-0.6 0.6 -2.7
Khris Davis 31 FA-elig 133-1.0 16.5 -19.6

Key additions (new vs 2018)

PlayerfWAR
Homer Bailey1.8
Jurickson Profar1.0
Joakim Soria1.0
Robbie Grossman0.8
Seth Brown0.6
Sean Murphy0.4

Key subtractions (gone from 2018)

Player2018 fWAR
Jed Lowrie5.1
Trevor Cahill2.0
Edwin Jackson0.7
Jeurys Familia0.7
Shawn Kelley0.5
Jonathan Lucroy0.3

Current & Historical Payroll

2019 payroll
$98.2M
2020 guaranteed
$0M

What the front office was committed to as of 2019, 2019–2025. Guaranteed $ are contract commitments signed by 2019; arbitration & free-agent years are projected from service time. Hover a figure for its luxury-tax (CBT) & actual-cash values.

current $ guaranteed $ arbitration (proj) pre-arb (proj) free agent club option player option mutual option vesting option

Guaranteed / signed (11)

PlayerAgeSvc2019202020212022202320242025
Kendrys Morales3613.000$7.7MFREE AGENT
Joakim Soria3512.000$6.5MFREE AGENT
Mike Fiers348.000$6.0MFREE AGENT
Yusmeiro Petit348.016$5.5MFREE AGENT
Marco Estrada3511.000$4.0MFREE AGENT
Fernando Rodney4215.137$1.6MFREE AGENT
Brett Anderson319.135$1.5MFREE AGENT
Nick Hundley3511.000$1.2MFREE AGENT
Chris Herrmann317.000$1.0MFREE AGENT
Jake Diekman326.050$829kFREE AGENT
Homer Bailey3310.017$128kFREE AGENT

Arbitration-eligible (11)

PlayerAgeSvc2019202020212022202320242025
Khris Davis315.104$16.5MFREE AGENT
Stephen Piscotty283.076$7.3MARB 2ARB 3FREE AGENT
Blake Treinen314.065$6.4MARB 3FREE AGENT
Marcus Semien284.118$5.9MARB 3FREE AGENT
Jurickson Profar264.165$3.6MARB 3FREE AGENT
Tanner Roark325.055$3.2MFREE AGENT
Liam Hendriks304.164$2.1MARB 3FREE AGENT
Mark Canha303.092$2.0MARB 2ARB 3FREE AGENT
Robbie Grossman294.059$2.0MARB 3FREE AGENT
Ryan Buchter323.010$1.4MARB 2ARB 3FREE AGENT
Josh Phegley314.087$1.1MARB 3FREE AGENT

Pre-arbitration (27)

PlayerAgeSvc2019202020212022202320242025
Sean Manaea272.157$3.1MARB 1ARB 2ARB 3FREE AGENT
Matt Chapman261.109$580kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Matt Olson251.102$575kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Chad Pinder272.047$565kARB 1ARB 2ARB 3FREE AGENT
Chris Bassitt302.130$565kARB 1ARB 2ARB 3FREE AGENT
Frankie Montas261.088$560kPre-ArbARB 1ARB 2ARB 3FREE AGENT
J.B. Wendelken260.108$558kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Franklin Barreto230.131$558kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ramón Laureano240.059$558kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Lou Trivino270.163$558kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Ryan Dull292.143$547kARB 1ARB 2ARB 3FREE AGENT
Aaron Brooks291.102$290kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Daniel Mengden261.128$248kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Wei-Chung Wang271.035$205kPre-ArbARB 1ARB 2ARB 3FREE AGENT
A.J. Puk240.000$122kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Brian Schlitter332.029$107kARB 1ARB 2ARB 3FREE AGENT
Nick Martini290.028$105kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Seth Brown260.000$104kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sheldon Neuse240.000$95kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Paul Blackburn251.093$93kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Sean Murphy240.000$87kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Tanner Anderson260.040$78kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Beau Taylor290.000$73kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Jesús Luzardo210.000$61kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Skye Bolt250.000$45kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT
Dustin Garneau311.058$35kPre-ArbARB 1ARB 2ARB 3FREE AGENT
Corban Joseph300.066$21kPre-ArbPre-ArbARB 1ARB 2ARB 3FREE AGENT

Graphs

Every roster slot ranked best→worst by WAR. Bars = Athletics 2019; the black line = the league-average player at each slot that season. Staying above the line deep into the roster is the depth edge; dropping below it = holes & dead weight.

What each regime is worth — every settled team-season since 1985

RegimeSeasonsWin %Playoff %Pennant %WS %
WINDOW 28952.230.14.81.0
CONTEND 31156.863.019.310.3
FORCED-SPEND 26047.98.81.21.2
REBUILD 32843.31.20.30.3
Rosternomics — quantifying front-office skill, attribution-clean. Follow @rosternomics on X. Decision-makers on record back to 1933; resource-controlled metrics (WAR & payroll) cover 1985–2026.
Data: FanGraphs (WAR), Baseball-Reference & the Chadwick Bureau register (rosters, IDs), the Lahman Database, Baseball America prospect rankings (via The Baseball Cube), and public payroll records. Transaction and trade data was obtained free of charge from and is copyrighted by Retrosheet. Executive birth/death data via Wikidata (CC0); bios are original. Emoji graphics by OpenMoji (CC BY-SA 4.0).
All figures are franchise-level outcomes credited to the decision-maker in the acquisition year — not solely attributable to one executive.
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Not enough history to chart.

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Pick a wider year range.

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slot %{x} · %{customdata[1]:.1f} WAR
%{y:.1%} of roster WAR' : '%{customdata[0]}'+posbit+'
slot %{x} · %{y:.1f} WAR'; buildPosLegend(); const _div=document.getElementById('wardist'); const traces=[ {type:'bar',x:WARDIST.ranks,y:team,name:'OAK',marker:{color:barcol},customdata:cd,hovertemplate:htmpl}, {type:'scatter',x:WARDIST.ranks,y:league,name:'league avg',mode:'lines',line:{color:line,width:2,shape:'spline',smoothing:0.6},hovertemplate:'league slot %{x}: %{y:'+fmt+'}'} ]; const layout={margin:{l:48,r:12,t:6,b:38},paper_bgcolor:'rgba(0,0,0,0)',plot_bgcolor:'rgba(0,0,0,0)',font:FONT, transition:{duration:360,easing:'cubic-in-out'}, xaxis:{title:{text:'roster slot (ranked by WAR)',font:{size:11}},gridcolor:grid,zeroline:false,color:ink}, yaxis:{title:{text:WD_MODE==='prop'?'share of roster WAR':'WAR',font:{size:11}},gridcolor:grid,zeroline:true,zerolinecolor:grid,color:ink,tickformat:WD_MODE==='prop'?'.0%':undefined}, showlegend:true,legend:{orientation:'h',y:1.13,x:0,font:{size:11}},bargap:0.14}; if(_div.data&&_div.data.length){ Plotly.react(_div,traces,layout,{displayModeBar:false,responsive:true}); } else { Plotly.newPlot(_div,traces,layout,{displayModeBar:false,responsive:true}); } } window.wdMode=function(m){WD_MODE=m;document.getElementById('wd-raw').classList.toggle('on',m==='raw');document.getElementById('wd-prop').classList.toggle('on',m==='prop');drawWarDist();}; window.wcToggle=function(){WC_MODE=WC_MODE==='pos'?'team':'pos';const b=document.getElementById('wc-btn');b.classList.toggle('on',WC_MODE==='pos');b.textContent=WC_MODE==='pos'?'Show team color':'Color by position';drawWarDist();}; // ---- Graphs dropdown switcher (orbit ⇄ roster value distribution) ---- let _wdRendered=false; window.showTeamGraph=function(g){ document.querySelectorAll('.gpane').forEach(p=>{ p.style.display=(p.dataset.g===g)?'':'none'; }); if(g==='orbit'){ drawOrbit(); } else if(g==='roster'){ if(!_wdRendered){ drawWarDist(); _wdRendered=true; } else { try{ Plotly.Plots.resize('wardist'); }catch(e){ drawWarDist(); } } } }; { const _ts=document.getElementById('tgsel'); if(_ts) _ts.addEventListener('change',()=>showTeamGraph(_ts.value)); } // initial paint of the default pane (roster when the team has roster data, else orbit already drawn above) if(WARDIST){ drawWarDist(); _wdRendered=true; } // redraw the roster pane on theme change only if it's been rendered and is visible if(WARDIST){ new MutationObserver(()=>{ const p=document.querySelector('.gpane[data-g="roster"]'); if(_wdRendered && p && p.style.display!=='none') drawWarDist(); }).observe(document.documentElement,{attributes:true,attributeFilter:['data-theme']}); } // ---- TOC scroll-spy ---- (function(){ const links=[...document.querySelectorAll('.toc a')]; const secs=links.map(a=>document.querySelector(a.getAttribute('href'))).filter(Boolean); links.forEach(a=>a.addEventListener('click',e=>{e.preventDefault();document.querySelector(a.getAttribute('href')).scrollIntoView({behavior:'smooth'});})); if('IntersectionObserver' in window && secs.length){ const obs=new IntersectionObserver(es=>{es.forEach(e=>{if(e.isIntersecting) links.forEach(l=>l.classList.toggle('on',l.getAttribute('href')==='#'+e.target.id));});},{rootMargin:'-15% 0px -75% 0px'}); secs.forEach(s=>obs.observe(s)); } })(); // ---- sortable roster table ---- const SVC_RANK={'pre-arb':0,'arb':1,'FA-elig':2,'?':3}; function cellNum(td){const n=parseFloat(td.textContent.replace(/[^0-9.\-]/g,''));return isNaN(n)?null:n;} function scale(v,mn,mx,g){ if(g==='diverge'){ if(v>=0){const t=mx>0?v/mx:0;return `rgba(26,125,90,${(0.10+0.55*t).toFixed(2)})`;} const t=mn<0?v/mn:0;return `rgba(192,73,43,${(0.10+0.55*t).toFixed(2)})`; } if(g==='salmag'){const t=mx>mn?(v-mn)/(mx-mn):0;return `rgba(128,135,143,${(0.05+0.45*t).toFixed(2)})`;} const t=mx>mn?(v-mn)/(mx-mn):0;return `rgba(26,125,90,${(0.05+0.55*t).toFixed(2)})`; } function applyGradients(table){ [...table.tHead.rows[0].cells].forEach((th,ci)=>{ if(!th.dataset.grad) return; const rows=[...table.tBodies[0].rows], vals=rows.map(r=>cellNum(r.cells[ci])).filter(v=>v!==null); if(!vals.length) return; const mn=Math.min(...vals),mx=Math.max(...vals); rows.forEach(r=>{const v=cellNum(r.cells[ci]);if(v!==null)r.cells[ci].style.background=scale(v,mn,mx,th.dataset.grad);}); }); } function makeSortable(table){ const ths=[...table.tHead.rows[0].cells]; ths.forEach((th,ci)=>{ th.dataset.label=th.textContent.trim(); th.addEventListener('click',()=>{ th._dir=(th._dir===-1)?1:-1; const dir=th._dir, tb=table.tBodies[0], svc=th.dataset.sortType==='service'; [...tb.rows].sort((a,b)=>{ let va,vb; if(svc){va=SVC_RANK[a.cells[ci].textContent.trim()]??9;vb=SVC_RANK[b.cells[ci].textContent.trim()]??9;} else{va=cellNum(a.cells[ci]);vb=cellNum(b.cells[ci]); if(va===null||vb===null){va=a.cells[ci].textContent.trim().toLowerCase();vb=b.cells[ci].textContent.trim().toLowerCase();}} return vavb?dir:0; }).forEach(r=>tb.appendChild(r)); ths.forEach(h=>h.innerHTML=h.dataset.label); th.innerHTML=th.dataset.label+' '+(dir===1?'▲':'▼')+''; }); }); } document.querySelectorAll('table.sortable').forEach(t=>{applyGradients(t);makeSortable(t);});